CEC2022 Benchmark Statistical Test Results for RL-DE and Six Comparison Algorithms

12.6 KB of statistical significance test results for RL-DE and six comparison algorithms on the CEC2022 benchmark suite. The table, authored by Yang Cao and last updated in May 2026, presents Friedman test average ranks and Wilcoxon signed-rank test pairwise p-values for 12 composite functions at two dimensions.

Use Cases

• Compare the average performance ranking of RL-DE against SaDE, SHADE, ILSHADE, JSO, MPEDE, and LSHADE based on Friedman test results.
• Identify statistically significant performance differences between algorithm pairs based on Wilcoxon signed-rank test p-values.
• Validate the significance of algorithm performance on the CEC2022 composite benchmark functions at dimensions 10 and 20.

Strengths

• Provides explicit statistical test results (Friedman and Wilcoxon) for a defined set of 7 algorithms.
• Focuses on a standardized benchmark suite (CEC2022) with 12 composite functions at two problem dimensions.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains results from computational experiments running algorithms on the CEC2022 benchmark.

Freshness

Last updated 2026-05-13 17:44:45; freshness should be verified.